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  1. Catching the Big Fish in Big Data: A Meta-Analysis of Zebrafish Kidney scRNA-Seq Datasets Highlights Conserved Molecular Profiles of Macrophages and Neutrophils in Vertebrates

    Bobrovskikh, A. V., Zubairova, U. S., Naumenko, L. G. & Doroshkov, A. V., Oct 2024, In: Biology. 13, 10, 773.

    Research output: Contribution to journal › Article › peer-review

  2. Business process verification with integrated simulation methods: Focus on "customer engagement»

    Israilova, S., Mukhanova, A., Yesikova, T. & Koishybayeva, M., 15 Nov 2021, In: Journal of Theoretical and Applied Information Technology. 99, 21, p. 5112-5124 13 p.

    Research output: Contribution to journal › Article › peer-review

  3. Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing

    Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 267-275 9 p. 24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing

    Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., Mar 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 148-157 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. Brain's tumor image processing using shearlet transform

    Cadena, L., Espinosa, N., Cadena, F., Korneeva, A., Kruglyakov, A., Legalov, A., Romanenko, A. & Zotin, A., 2017, Applications of Digital Image Processing XL. Tescher, AG. (ed.). The International Society for Optical Engineering, Vol. 10396. p. 47 6 p. 103961B. (Proceedings of SPIE; vol. 10396).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Brain Principles Programming

    Vityaev, E., Kolonin, A., Kurpatov, A. & Molchanov, A., 2022, In: Doklady Mathematics. 106, p. S101-S112

    Research output: Contribution to journal › Article › peer-review

  7. Brain Principles Programming

    Vityaev, E., Kolonin, A., Kurpatov, A. & Molchanov, A., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, p. 424-433 10 p. 41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13539 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. AWAKE readiness for the study of the seeded self-modulation of a 400 GeV proton bunch

    (AWAKE Collaboration), 1 Jan 2018, In: Plasma Physics and Controlled Fusion. 60, 1, 12 p., 014046.

    Research output: Contribution to journal › Article › peer-review

  9. Automatic text summarization based on syntactic links

    Yerimbetova, A. S., Batura, T. V., Murzin, F. A. & Sagnayeva, S. K., 1 Jan 2020, In: CEUR Workshop Proceedings. 2570

    Research output: Contribution to journal › Conference article › peer-review

  10. Automated Determination of the Type of Genre and Stylistic Coloring of Russian Texts

    Barakhnin, V., Kozhemyakina, O. & Pastushkov, I., 2017, 2017 SEMINAR ON SYSTEMS ANALYSIS. Nikulchev, E. & Bubnov, G. (eds.). University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions, Vol. 10. p. 02001 4 p. (ITM Web of Conferences; vol. 10).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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